Literature DB >> 31713278

Circ-MTO1 correlates with favorable prognosis and inhibits cell proliferation, invasion as well as miR-17-5p expression in prostate cancer.

Yijia Hu1, Bin Guo2.   

Abstract

BACKGROUND: This study aimed to investigate circular RNA-mitochondrial tRNA translation optimization 1 (circ-MTO1) expression in tumor tissue and its correlation with clinical characteristics and survival profiles, as well as its effect on cancer cell functions in prostate cancer.
METHODS: A total of 298 primary prostate cancer patients were included. Reverse transcription-quantitative polymerase chain reaction was conducted to evaluate circ-MTO1 expression in tumor tissue and paired adjacent tissue. Disease-free survival (DFS) and overall survival (OS) were recorded. In in vitro experiment, prostate cancer cells were transfected with circ-MTO1 over-expression and negative-control over-expression plasmids. Then cell proliferation, cell invasion and miR-630 as well as miR-17-5p expressions in prostate cancer cells were detected.
RESULTS: Circular RNA-mitochondrial tRNA translation optimization 1 expression was downregulated in tumor tissue compared with paired adjacent tissue (P < .001) in patients with prostate cancer. Circ-MTO1 high expression in tumor tissue was correlated with decreased pathological T stage (P = .001) as well as lower pathological N stage (P = .020). As for survival profiles, the DFS (P = .006) and OS (P = .018) were both longer in patients who had circ-MTO1 high expression compared with patients who had circ-MTO1 low expression. In addition, circ-MTO1 high expression independently predicted favorable DFS and OS. Besides, further in vitro experiments illustrated that circ-MTO1 inhibited proliferation (P < .05) and invasion (P < .05) as well as downregulated miR-17-5p expression in prostate cancer cells (P < .05).
CONCLUSION: Circ-MTO1 correlates with decreased pathological T/N stage and favorable survival profiles, and it also inhibits cell proliferation, invasion as well as miR-17-5p expression in prostate cancer.
© 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc.

Entities:  

Keywords:  cell function; circ-MTO1; clinical characteristics; prostate cancer; survival profile

Mesh:

Substances:

Year:  2019        PMID: 31713278      PMCID: PMC7083442          DOI: 10.1002/jcla.23086

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


INTRODUCTION

Prostate cancer, ranked as the second most frequent cancer in men worldwide, attacks roughly 1.3 million people and leads to 359 000 deaths in 2018 according to the most recent global cancer statistical report.1 Diagnosis of prostate cancer mainly bases on biopsy, and although new imaging technology has been progressed to enhance the diagnostic accuracy, effective screening and timely diagnosis are still insufficient.2, 3, 4 Treatment of prostate cancer has sufficiently progressed, while, for the early stage patients presenting with good response to treatment and favorable survival, they often suffer from sequelae or adverse events. As for the patients in late stage with unsatisfactory response to treatment, their survival profile is still poor.5, 6, 7 Therefore, it is necessary to explore more biomarkers, which could assist with the management of prostate cancer. Circular RNAs (circRNAs), a novel class of non‐coding RNAs presenting with closed loops without poly A tails, are stably expressed in human and have almost no protein‐coding function.8 In recent years, circRNAs have been revealed as genetic factors that play critical roles in various cancers, such as promoting cancer progression by regulating cancer cell functions and presenting with potential as prognostic biomarkers.9, 10, 11 Additionally, circRNAs are increasingly implicated in prostate cancer as well; however, the relevant studies are not as abundant as the studies of other cancers.12, 13 Circular RNA‐mitochondrial tRNA translation optimization 1 (circMTO1) is a novel circRNA that is previously reported as an anti‐tumor gene, which inhibits liver fibrosis to prevent hepatocellular carcinoma and represses progression of lung cancer and breast cancer.14, 15 And circMTO1 has also been reported to express in prostate cancer (http://www.circbase.org/), Based on these facts, we supposed that circMTO1 might play a crucial role in prostate cancer. Thus, the aim of this study was to investigate circMTO1 expression in tumor tissue and its correlation with clinical characteristics, survival profiles, as well as its effect on cancer cell functions in prostate cancer.

MATERIALS AND METHODS

Patients

A total of 298 primary prostate cancer patients who underwent surgical resection in our hospital were consecutively enrolled from January 2015 to December 2018. The inclusion criteria were: (a) histologically diagnosed as primary prostate cancer; (b) about to receive surgical resection; (c) agreed with the collection of their tumor tissue and paired adjacent tissue for the study using; (d) age ≥18 years old; (e) can be followed up regularly. Besides, the patients complicated with other malignancies were excluded. This study was approved by the Ethics Committee of our hospital and conducted according to the Declaration of Helsinki. All patients signed the informed consents before enrollment.

Data and sample collection

The major tumor characteristics of patients were recorded including Gleason score, pathological T stage, pathological N stage, surgical margin status and prostate‐specific antigen (PSA) level. The fresh tumor tissue and paired adjacent tissue excised from surgery were divided into two parts. One was sent to the pathology department for routine pathologic analysis, and the other was snap‐frozen and used for circMTO1 (access number: has_circ_0076979) determination in this study. And the relative expression of circMTO1 in tumor tissue and adjacent tissue was detected by reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR).

Treatment and follow‐up

After enrollment, preoperative treatments were administered to patients as appropriate based on the patients' clinical status, then surgery was carried out. After surgery, conventional care and adjuvant therapy were given to patients as well, and both the preoperative treatment and the adjuvant therapy were conducted according to the guideline,16 which were not intervened by the current study. Regular follow‐up was performed by telephone or clinic visit. The last follow‐up date was 2018/12/31, and the median follow‐up duration was 26.5 months (range: 0.0‐48.0 months). Disease‐free survival (DFS) was calculated from the date of entry into the study to the date of relapse or death. For the patients not known to have relapsed or died at last follow‐up, they were censored on the date of last examination. Overall survival (OS) was calculated from the date of entry into the study to the date of death. For patients not known to have died at last follow‐up, they were censored on the date of last known to be alive.

Cell culture

Human prostate cancer cell lines including DU‐145, VCaP and PC‐3 as well as human normal prostate epithelial cell line RWPE‐1 were purchased from Cell Bank of Type Culture Collection of Chinese Academy of Sciences. DU‐145 cells were cultured in 90% minimum eagle's medium (MEM) (Gibco) and 10% fetal bovine serum (FBS) (Gibco), VCaP cells were cultured in 90% Dulbecco's modified eagle medium (DMEM) (Gibco) and 10% FBS (Gibco), PC‐3 cells were cultured in 90% Ham's F‐12 Nutrient Mix medium (F‐12) and 10% FBS (Gibco), and RWPE‐1 cells were cultured in Keratinocyte Serum Free Medium (K‐SFM) Kit (Invitrogen, USA). All cells were maintained in a humidified tissue culture incubator at 37°C in 5% CO2. After culturing, the relative expression of CircMTO1 in Human prostate cancer cell lines were detected by RT‐qPCR, with the RWPE‐1 cells used as control.

Transfection and assays

The circMTO1 over‐expression plasmids and negative‐control over‐expression plasmids were respectively transfected into the PC‐3 cells, which were constructed by Shanghai Qeejen Bio‐Tech Co., Ltd using pEX2. And the PC‐3 cells transfected with circMTO1 over‐expression plasmids were named as OE‐Circ group, and the PC‐3 cells transfected with negative‐control over‐expression plasmids were named as OE‐NC group, correspondingly. At 24 hours (h) after transfection, the circMTO1 relative expression in two groups were detected by RT‐qPCR, meanwhile, the cell invasive ability in two groups was evaluated by the transwell assay; at 0 hour, 24 hours, 48 hours and 72 hours after transfection, cell proliferation in two groups was determined by CCK‐8 (Dojindo) assay, which was carried out in accordance with the manufacturer's instructions and assessed by optical density (OD) value. In addition, previous studies demonstrated that microRNA‐630 (miR‐630) and microRNA‐17‐5p (miR‐17‐5p) were directly targeted by the circMTO1.14 Consequently, the relative expressions of miR‐17‐5p and miR‐630 in two groups were also detected at 24 hours after transfection by the RT‐qPCR.

RT‐qPCR

In the beginning, the RNA extraction from tissues and cells was carried out by RNeasy Protect Mini Kit (Qiagen) according to the instructions of the manufacturer. Then for circMTO1 detection, the linear RNA was digested using RNase R (Epicentre), while for miR‐17‐5p and miR‐630 detection the linear RNA was not digested. Subsequently, the RNA was reversely transcribed into cDNA by the iScript cDNA Synthesis Kit (Bio‐Rad), afterward, PCR was performed by QuantiNova SYBR Green PCR Kit (Qiagen). Then, the relative expressions of circMTO1 and miR‐17‐5p/miR‐630 were calculated using the formula 2−ΔΔCt. Besides, the internal reference for circMTO1 was GAPDH, and the internal reference for miR‐17‐5p as well as miR‐630 was U6. And before the detection of GAPDH, the linear RNA was digested by RNase R (Epicentre). In addition, all the primers used in RT‐qPCR were as follows: CircMTO1 Forward: TTACCAGCCGAGTAGAGTTCC; Reverse: ATCCATTCCTTCAGGTTCCAAC; miR‐17‐5p Forward: ACACTCCAGCTGGGTGAGGTAGTAGGTTGTGT; Reverse: TGTCGTGGAGTCGGCAATTC; miR‐630 Forward: ACACTCCAGCTGGGAGTATTCTGTACCAGG; Reverse: TGTCGTGGAGTCGGCAATTC; GAPDH Forward: GGAGCGAGATCCCTCCAAAAT; Reverse: GGCTGTTGTCATACTTCTCATGG; U6 Forward: CTCGCTTCGGCAGCACATATACTA; Reverse: ACGAATTTGCGTGTCATCCTTGC.

Statistical analysis

Statistical analysis was performed using SPSS 24.0 (IBM), and figures were plotted using GraphPad Prism 7.00 (GraphPad Software). Categorical variables were summarized using count and percentage, while continuous variables were expressed as mean and standard deviation (SD) or median and interquartile range (IQR). Comparison between paired samples was determined by Wilcoxon signed‐rank test; Comparison between independent samples was determined by one‐way analysis of variance (ANOVA) followed by Dunnett's t test, unpaired t test, Wilcoxon rank‐sum test, or chi‐square test, as appropriate. DFS and OS were displayed by Kaplan‐Meier curves, and the difference of DFS and OS between groups was determined by log‐rank test. Variables predicting DFS and OS were analyzed by univariate and multivariate Cox's proportional hazard regression model. P value <.05 was considered as significant.

RESULTS

Baseline characteristics

The mean age was 62.0 ± 9.5 years in patients with prostate cancer enrolled in our study (Table 1). And the numbers of patients with Gleason score ≤6, =7 and ≥8 were 63 (21.2%), 167 (56.0%) as well as 68 (22.8%), respectively. In addition, the number of patients with pathological T stage of pT2, pT3, and pT4 were 176 (59.1%), 116 (38.9%), and 6 (2.0%), respectively, and there were 216 (72.5%) patients with pathological N stage of pN0 as well as 82 (27.5%) patients with pN1. As for the surgical margin status, there were 241 (80.9%) patients who had a negative margin and 57 (19.1%) patients who had a positive status. The number of patients who had a PSA level ≤10, 10‐20 and ≥20 were 78 (26.2%), 161 (54.0%) and 59 (19.8%), respectively.
Table 1

Clinical characteristics of prostate cancer patients

ItemsProstate cancer patients (N = 298)
Age (y), mean ± SD62.0 ± 9.5
Gleason score, No. (%)
≤663 (21.2)
=7167 (56.0)
≥868 (22.8)
Pathological T stage, No. (%)
pT2176 (59.1)
pT3116 (38.9)
pT46 (2.0)
Pathological N stage, No. (%)
pN0216 (72.5)
pN182 (27.5)
Surgical margin status, No. (%)
Negative241 (80.9)
Positive57 (19.1)
PSA (ng/mL), No. (%)
≤1078 (26.2)
10‐20161 (54.0)
≥2059 (19.8)

Abbreviations: PSA, prostate‐specific antigen; SD, standard deviation.

Clinical characteristics of prostate cancer patients Abbreviations: PSA, prostate‐specific antigen; SD, standard deviation.

Expression of circ‐MTO1 in tumor tissue and paired adjacent tissue

The expression of circMTO1 in tumor tissue and paired adjacent tissue was detected by RT‐qPCR, which displayed that circMTO1 expression was lower in tumor tissue compared with paired adjacent tissue in prostate cancer patients (P < .001) (Figure 1).
Figure 1

Circ‐MTO1 expression in tumor tissue and paired adjacent tissue. The comparison of circ‐MTO1 expression between tumor tissue and paired adjacent tissue obtained from prostate cancer patients. Comparison was determined by Wilcoxon signed‐rank test. P value <.05 was considered as significant. Circ‐MTO1, circular RNA mitochondrial tRNA translation optimization 1

CircMTO1 expression in tumor tissue and paired adjacent tissue. The comparison of circMTO1 expression between tumor tissue and paired adjacent tissue obtained from prostate cancer patients. Comparison was determined by Wilcoxon signed‐rank test. P value <.05 was considered as significant. CircMTO1, circular RNA mitochondrial tRNA translation optimization 1

Correlation of circ‐MTO1 expression in tumor tissue with clinical features

The circMTO1 high expression in tumor tissue was correlated with decreased pathological T stage (P = .001) and lower pathological N stage (P = .020) in patients with prostate cancer, while it was not associated with age (P = .345), Gleason score (P = .793), surgical margin status (P = .185) or PSA level (P = .806) (Table 2).
Table 2

Correlation of circ‐MTO1 expression with clinical characteristics

ItemsCirc‐MTO1 expressiona P value
LowHigh
Age (y), No. (%)
<6056 (46.7)64 (53.3).345
≥6093 (52.2)85 (47.8) 
Gleason score, No. (%)
≤631 (49.2)32 (50.8).793
=783 (49.7)84 (50.3) 
≥835 (51.5)33 (48.5) 
Pathological T stage, No. (%)
pT274 (42.0)102 (58.0).001
pT370 (60.3)46 (39.7) 
pT45 (83.3)1 (16.7) 
Pathological N stage, No. (%)
pN099 (45.8)117 (54.2).020
pN150 (61.0)32 (39.0) 
Surgical margin status, No. (%)
Negative116 (48.1)125 (51.9).185
Positive33 (57.9)24 (42.1) 
PSA (ng/mL), No. (%)
≤1039 (50.0)39 (50.0).806
10‐2082 (50.9)79 (49.1) 
≥2028 (47.5)31 (52.5) 

Correlation was determined by Wilcoxon rank‐sum test or chi‐square test.

Abbreviation: PSA, prostate‐specific antigen.

High and low were classified by the median value of circ‐MTO1 relative expression in tumor tissues.

Correlation of circMTO1 expression with clinical characteristics Correlation was determined by Wilcoxon rank‐sum test or chi‐square test. Abbreviation: PSA, prostate‐specific antigen. High and low were classified by the median value of circMTO1 relative expression in tumor tissues.

Correlation of tumor tissue circ‐MTO1 with survival profiles

The DFS was more favorable in patients who had circMTO1 high expression in tumor tissue compared with prostate cancer patients who had circMTO1 low expression (P = .006) (Figure 2A), and the OS was also longer in patients with circMTO1 high expression than that in patients with circMTO1 low expression (P = .018) (Figure 2B). Furthermore, univariate and multivariate Cox's regression analyses were performed to evaluate the factors predicting DFS. Univariate Cox's regression revealed that circMTO1 high expression (P = .005) predicted increased DFS, while higher Gleason score (P = .027), higher pathological T stage (P = .001), higher pathological N stage (P = .002) as well as positive surgical margin (P = .004) predicted worse DFS (Table 3). Then, all the factors were included in the multivariate Cox's regression analysis, which disclosed that circMTO1 high expression (P = .032) could independently predict increased DFS. However, higher Gleason score (P = .017), higher pathological T stage (P = .005), and positive surgical margin (P = .012) were independent factors for predicting shorter DFS. In terms of OS, univariate Cox's regression analysis illuminated that circMTO1 high expression (P = .016) predicted better OS, while higher Gleason score (P = .001), higher pathological N stage (P < .001), positive surgical margin (P = .003) and higher PSA level (P = .029) predicted worse OS (Table 4). Subsequently, all the factors were analyzed by multivariate Cox's regression analysis, which illustrated that circMTO1 high expression (P = .044) independently predicted more prolonged OS, while higher Gleason score (P < .001), higher pathological N stage (P = .028), positive surgical margin (P = .020), and higher PSA level (P = .013) were independent predictive factors for less satisfactory OS.
Figure 2

DFS and OS in patients with circ‐MTO1 low or high expressions. The comparison of DFS between patients with circ‐MTO1 low expression and patients with circ‐MTO1 high expression (A), the comparison of OS between patients with circ‐MTO1 low expression and patients with circ‐MTO1 high expression (B). DFS and OS were displayed by Kaplan‐Meier curves, and the difference of DFS and OS between the two groups was determined by log‐rank test. P value <.05 was considered as significant. DFS, disease‐free survival; OS, overall survival; Circ‐MTO1, circular RNA mitochondrial tRNA translation optimization 1

Table 3

Analysis of factors predicting DFS

ItemsUnivariate Cox's regressionMultivariate Cox's regression
P valueHR (95% CI) P valueHR (95% CI)
Circ‐MTO1 high expression.0050.541 (0.351‐0.832).0320.611 (0.389‐0.959)
Age ≥60 y.3051.247 (0.818‐1.902).3271.244 (0.804‐1.923)
Higher Gleason score.0271.408 (1.039‐1.909).0171.454 (1.069‐1.976)
Higher pathological T stage.0011.847 (1.278‐2.670).0051.730 (1.177‐2.541)
Higher pathological N stage.0021.937 (1.279‐2.934).1061.447 (0.924‐2.267)
Positive surgical margin.0041.932 (1.227‐3.040).0121.817 (1.139‐2.898)
Higher PSA level.2111.205 (0.899‐1.615).1031.278 (0.952‐1.715)

Factors predicting DFS was analyses by univariate and multivariate Cox's proportional hazard regression model.

Abbreviations: CI, confidence interval; DFS, disease‐free survival; HR, hazard ratio; PSA, prostate‐specific antigen.

Table 4

Analysis of factors predicting OS

ItemsUnivariate Cox's regressionMultivariate Cox's regression
P valueHR (95% CI) P valueHR (95% CI)
Circ‐MTO1 high expression.0160.444 (0.229‐0.860).0440.490 (0.244‐0.982)
Age ≥60 y.2121.484 (0.798‐2.758).4651.280 (0.661‐2.479)
Higher Gleason score.0012.049 (1.317‐3.188)<.0012.298 (1.456‐3.626)
Higher pathological T stage.0551.670 (0.988‐2.821).0901.629 (0.926‐2.865)
Higher pathological N stage<.0012.976 (1.653‐5.358).0282.127 (1.087‐4.164)
Positive surgical margin.0032.504 (1.360‐4.612).0202.170 (1.129‐4.170)
Higher PSA level.0291.605 (1.051‐2.451).0131.740 (1.124‐2.693)

Factors predicting OS was analyzed by univariate and multivariate Cox's proportional hazard regression model.

Abbreviations: CI, confidence interval; HR, hazard ratio; OS, overall survival; PSA, prostate‐specific antigen.

DFS and OS in patients with circMTO1 low or high expressions. The comparison of DFS between patients with circMTO1 low expression and patients with circMTO1 high expression (A), the comparison of OS between patients with circMTO1 low expression and patients with circMTO1 high expression (B). DFS and OS were displayed by Kaplan‐Meier curves, and the difference of DFS and OS between the two groups was determined by log‐rank test. P value <.05 was considered as significant. DFS, disease‐free survival; OS, overall survival; CircMTO1, circular RNA mitochondrial tRNA translation optimization 1 Analysis of factors predicting DFS Factors predicting DFS was analyses by univariate and multivariate Cox's proportional hazard regression model. Abbreviations: CI, confidence interval; DFS, disease‐free survival; HR, hazard ratio; PSA, prostate‐specific antigen. Analysis of factors predicting OS Factors predicting OS was analyzed by univariate and multivariate Cox's proportional hazard regression model. Abbreviations: CI, confidence interval; HR, hazard ratio; OS, overall survival; PSA, prostate‐specific antigen.

Effect of circ‐MTO1 on prostate cancer cell proliferation and invasion as well as its potential target miRNA

The circMTO1 expression was downregulated in DU‐145 cells (P < .05), VCaP cells (P < .01) and PC‐3 cells (P < .001) compared with RWPE‐1 cells (Figure 3A). Then PC‐3 cells were selected for further cellular experiments. After transfections, the circMTO1 expression was elevated in OE‐Circ group compared with OE‐NC group (P < .001) (Figure 3B). In view of cell proliferation, the cell proliferation rate of PC‐3 cells was decreased in OE‐Circ group compared with OE‐NC group at 48 hours (P < .05) and 72 hours (P < .05) after transfections (Figure 3C). And the invasive cell count was reduced in OE‐Circ group compared with OE‐NC group at 24 hours after transfections (P < .01) (Figure 3D,E). For the reason that miR‐17‐5p and miR‐630 were reported as direct targets of circMTO1 by previous studies, we subsequently detected the expressions of miR‐17‐5p and miR‐630 in OE‐Circ group and OE‐NC group, and the results displayed that the miR‐17‐5p (P < .01) (Figure 3F) expression in OE‐Circ group was decreased than that in OE‐NC group, while the expression of miR‐630 (P > .05) (Figure 3G) was of no difference between the two groups.
Figure 3

Effect of circ‐MTO1 on proliferation, invasion and miR‐17‐5p/miR‐630 in prostate cancer cells. Circ‐MTO1 expression in prostate cancer cells lines and human normal prostate epithelial cell line (A), circ‐MTO1 expression in EC‐Circ group and OE‐NC group after transfections in PC‐3 cells (B), effect of circ‐MTO1 on cell proliferation in PC‐3 cells (C), effect of circ‐MTO1 on cell invasive count in PC‐3 cells (D, E), effect of circ‐MTO1 on miR‐17‐5p (F) and miR‐630 (G) expressions in PC‐3 cells. Comparison between the two groups was determined by Dunnett's t test. P value <.05 was considered as significant. Circ‐MTO1, circular RNA‐mitochondrial tRNA translation optimization 1; ANOVA, one‐way analysis of variance

Effect of circMTO1 on proliferation, invasion and miR‐17‐5p/miR‐630 in prostate cancer cells. CircMTO1 expression in prostate cancer cells lines and human normal prostate epithelial cell line (A), circMTO1 expression in EC‐Circ group and OE‐NC group after transfections in PC‐3 cells (B), effect of circMTO1 on cell proliferation in PC‐3 cells (C), effect of circMTO1 on cell invasive count in PC‐3 cells (D, E), effect of circMTO1 on miR‐17‐5p (F) and miR‐630 (G) expressions in PC‐3 cells. Comparison between the two groups was determined by Dunnett's t test. P value <.05 was considered as significant. CircMTO1, circular RNA‐mitochondrial tRNA translation optimization 1; ANOVA, one‐way analysis of variance

DISCUSSION

In this study, we discovered that (a) circMTO1 expression was downregulated in tumor tissue compared with non‐tumor tissue in prostate cancer; (b) circMTO1 high expression in tumor tissue correlated with less severe clinical characteristics in patients with prostate cancer; (c) circMTO1 high expression in tumor tissue associated with more prolonged DFS and OS and was an independent predicting factor for favorable DFS and OS; and (d) circMTO1 repressed cell proliferation and invasion as well as downregulated miR‐17‐5p expression in prostate cancer cells. Evidence correlating circRNAs with the pathogenesis of prostate cancer is preliminary but promising. For instance, circABCC4 advocates the progression of prostate cancer by acting as competing endogenous RNA (ceRNA) of miR‐1182 via promoting the expression of forkhead box P4.12 Another study reveals that circ_0001206 is decreased in prostate cancer tumor tissue and represses cell proliferation, migration and invasion in prostate cancer cells.17 Additionally, a recent research discloses that the decreased circ‐itchy E3 ubiquitin‐protein ligase associates with more severe pathological T stage, increased lymph node metastasis risk and worse survival in patients with prostate cancer.18 In terms of the specific circRNA (circMTO1) evaluated in our study, the circMTO1, it has not been studied in prostate cancer before. However, there have been several studies demonstrate the anti‐oncogenetic role of circMTO1 in other cancers. For example, a previous in vitro study reports that circMTO1/miR‐17/QKI‐5 regulatory circuit suppresses lung cancer cell proliferation.19 Furthermore, circMTO1 inhibits cancer cell viability and reverses the resistance to monastrol in breast cancer cells.15 In this study, we found that circMTO1 was downregulated in tumor tissue compared with non‐tumor tissue, which might be resulted from that circMTO1 decreased malignant cell proliferation as shown in our in vitro experiments. Thus, tumor tissue presented with a lower circMTO1 expression compared with the non‐tumor tissue as the tumor cell was featured by its malignant cell proliferation ability. And we also discovered that circMTO1 high expression in tumor tissue was correlated with decreased pathological T stage and N stage, which could be explained by that circMTO1 might act as a tumor suppressor in prostate cancer via suppressing cancer cell proliferation and invasion as displayed in our following in vitro experiment. In addition, we also discovered that circMTO1 high expression associated with better DFS and OS and was an independent predictive factor for favorable DFS and OS. Here are several possible explanations: a) circMTO1 possibly delayed prostate cancer progression by reducing cancer cell proliferation which led to attenuated tumor growth, or inhibiting cancer cell invasion which resulted in less severe tumor metastasis, via the interaction with other factors, for instance, the interaction with miR‐17 and QKI‐5. In addition, we also observed that circMTO1 suppressed prostate cancer cell proliferation, invasion and downregulated miR‐17‐5p expression in prostate cancer cells, which might also provide some explanation to these results. b) CircMTO1 might also inhibit prostate cancer progression by repressing chemoresistance, which contributed to a better treatment response and subsequent favorable survival.15, 19 Increasing information about the effect of circRNAs on cancer cell functions in prostate cancer has been revealed recently. For example, circSMARCA5 is an androgen‐responsive circRNA that is overexpressed and enhances cell proliferation in prostate cancer cells.20 And circ‐nyosin light chain kinase enhances prostate cancer cell proliferation, invasion and migration by mediating the level of miR‐29a.21 Although the detailed mechanism of circMTO1 in mediating cell activities in prostate cancer has not been investigated in our study, we observed that circMTO1 inhibited cell proliferation and invasion, and also downregulated miR‐17‐5p expression in prostate cancer cells. MiR‐17‐5p has been reported to be correlated with cancer development and progression. For instance, miR‐17 enhances cell proliferation and migration of human colorectal cancer cells via decreasing salt‐inducible kinase 1.22 Moreover, downregulation of miR‐17 reduces chemoresistance and represses EMT in a death effector domain‐containing DNA‐binding protein‐dependent manner in gastric cancer cells.23 MiR‐17‐5p is also reported to promote cancer cell proliferation via changing cell cycle profiles by dysregulating the retinoblastoma‐like protein 2/E2F4‐repressing complexes.24 More importantly, miR‐17‐5p has also been reported as an oncological gene in prostate cancer as well. A previous study elucidates that miR‐17‐5p promotes prostate cancer cell proliferation, colony formation, cell survival, and cell invasion by targeting TIMP metallopeptidase inhibitor 3.14 These previous studies indicate the role of miR‐17 in promoting disease progression in various carcinomas, including prostate cancer. Thus, we speculated that circMTO1 repressed cell proliferation and invasion possibly by downregulating miR‐17‐5p. However, this speculation still needs to be validated by further mechanistic experiments. Furthermore, there were several limitations in this study: (a) the follow‐up duration was relatively short, which should be prolonged in the future; we only assessed the expression of circMTO1 in tumor tissue but not in circulating samples that were more convenient considering the clinical utility, such as plasma or serum, which should be evaluated in the future study; (b) patients enrolled in this study were prostate cancer patients who had underwent resection; therefore, the role of circMTO1 in unresectable prostate cancer patients was unclear. In conclusion, circMTO1 correlates with decreased pathological T/N stage and favorable survival profiles, and it also inhibits cell proliferation, invasion as well as miR‐17‐5p expression in prostate cancer.
  24 in total

1.  MicroRNA-17 inhibition overcomes chemoresistance and suppresses epithelial-mesenchymal transition through a DEDD-dependent mechanism in gastric cancer.

Authors:  Dong-Mei Wu; Xiao-Wu Hong; Ling-Ling Wang; Xia-Feng Cui; Jun Lu; Gui-Quan Chen; Yuan-Lin Zheng
Journal:  Int J Biochem Cell Biol       Date:  2018-06-25       Impact factor: 5.085

2.  A regulatory circuit of circ-MTO1/miR-17/QKI-5 inhibits the proliferation of lung adenocarcinoma.

Authors:  Binbin Zhang; Maolin Chen; Nan Jiang; Kefeng Shi; Runlin Qian
Journal:  Cancer Biol Ther       Date:  2019-04-12       Impact factor: 4.742

3.  Upregulated circular RNA circ_0025033 promotes papillary thyroid cancer cell proliferation and invasion via sponging miR-1231 and miR-1304.

Authors:  Yanhui Pan; Tingting Xu; Yuanzhi Liu; Weiwei Li; Wei Zhang
Journal:  Biochem Biophys Res Commun       Date:  2019-01-30       Impact factor: 3.575

4.  Expression of circular RNA CDR1‑AS in colon cancer cells increases cell surface PD‑L1 protein levels.

Authors:  Eri Tanaka; Yu Miyakawa; Takahiro Kishikawa; Takahiro Seimiya; Takuma Iwata; Kazuyoshi Funato; Nariaki Odawara; Kazuma Sekiba; Mari Yamagami; Tatsunori Suzuki; Rei Ishibashi; Motoyuki Otsuka; Kazuhiko Koike
Journal:  Oncol Rep       Date:  2019-07-19       Impact factor: 3.906

5.  10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer.

Authors:  Freddie C Hamdy; Jenny L Donovan; J Athene Lane; Malcolm Mason; Chris Metcalfe; Peter Holding; Michael Davis; Tim J Peters; Emma L Turner; Richard M Martin; Jon Oxley; Mary Robinson; John Staffurth; Eleanor Walsh; Prasad Bollina; James Catto; Andrew Doble; Alan Doherty; David Gillatt; Roger Kockelbergh; Howard Kynaston; Alan Paul; Philip Powell; Stephen Prescott; Derek J Rosario; Edward Rowe; David E Neal
Journal:  N Engl J Med       Date:  2016-09-14       Impact factor: 91.245

6.  Androgen-responsive circular RNA circSMARCA5 is up-regulated and promotes cell proliferation in prostate cancer.

Authors:  Zhe Kong; Xuechao Wan; Yalong Zhang; Pu Zhang; Yingyi Zhang; Xiaona Zhang; Xiaoxiang Qi; Hai Wu; Jianfeng Huang; Yao Li
Journal:  Biochem Biophys Res Commun       Date:  2017-07-29       Impact factor: 3.575

Review 7.  Screening for prostate cancer with the prostate-specific antigen test: a review of current evidence.

Authors:  Julia H Hayes; Michael J Barry
Journal:  JAMA       Date:  2014-03-19       Impact factor: 56.272

Review 8.  The Diagnosis and Treatment of Prostate Cancer: A Review.

Authors:  Mark S Litwin; Hung-Jui Tan
Journal:  JAMA       Date:  2017-06-27       Impact factor: 56.272

9.  Circular RNA circABCC4 as the ceRNA of miR-1182 facilitates prostate cancer progression by promoting FOXP4 expression.

Authors:  Changkun Huang; Huanghao Deng; Yinhuai Wang; Hongyi Jiang; Ran Xu; Xuan Zhu; Zhichao Huang; Xiaokun Zhao
Journal:  J Cell Mol Med       Date:  2019-07-03       Impact factor: 5.310

10.  Circ-MTO1 correlates with favorable prognosis and inhibits cell proliferation, invasion as well as miR-17-5p expression in prostate cancer.

Authors:  Yijia Hu; Bin Guo
Journal:  J Clin Lab Anal       Date:  2019-11-11       Impact factor: 2.352

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  9 in total

1.  Identification of Prostate Cancer-Related Circular RNA Through Bioinformatics Analysis.

Authors:  Yu-Peng Wu; Xiao-Dan Lin; Shao-Hao Chen; Zhi-Bin Ke; Fei Lin; Dong-Ning Chen; Xue-Yi Xue; Yong Wei; Qing-Shui Zheng; Yao-An Wen; Ning Xu
Journal:  Front Genet       Date:  2020-08-14       Impact factor: 4.599

2.  Circular RNA cir-ITCH Is a Potential Therapeutic Target for the Treatment of Castration-Resistant Prostate Cancer.

Authors:  Shoubin Li; Chunhong Yu; Yunxia Zhang; Junjiang Liu; Yi Jia; Fuzhen Sun; Panying Zhang; Jingpo Li; Liuxiong Guo; Helong Xiao; Fei Gao; Xinna Deng; Ziqi Cai; Jianhui Cai
Journal:  Biomed Res Int       Date:  2020-08-20       Impact factor: 3.411

3.  Circular RNA MTO1 intercorrelates with microRNA-630, both associate with Enneking stage and/or pathological fracture as well as prognosis in osteosarcoma patients.

Authors:  Zhihua Shi; Ye Wen; Senbing Zhang; Xin Cheng
Journal:  J Clin Lab Anal       Date:  2021-09-20       Impact factor: 2.352

Review 4.  Oxidative Stress and Inflammation in Cardiovascular Diseases and Cancer: Role of Non-coding RNAs.

Authors:  Pieterjan Ginckels; Paul Holvoet
Journal:  Yale J Biol Med       Date:  2022-03-31

5.  Circular RNA mitochondrial translation optimization 1 correlates with less lymph node metastasis, longer disease-free survival, and higher chemotherapy sensitivity in gastric cancer.

Authors:  Cheng Chang; Anrui Zheng; Pinfa Wang; Xiaojun Teng
Journal:  J Clin Lab Anal       Date:  2022-04-27       Impact factor: 3.124

Review 6.  The Roles of circMTO1 in Cancer.

Authors:  Wei Liu; Yuanyuan Xiong; Renhua Wan; Renfeng Shan; Jianfeng Li; Wu Wen
Journal:  Front Cell Dev Biol       Date:  2021-06-30

7.  High expression of miR-17-5p in tumor epithelium is a predictor for poor prognosis for prostate cancer patients.

Authors:  Maria Jenvin Stoen; S Andersen; M Rakaee; M I Pedersen; L M Ingebriktsen; R M Bremnes; T Donnem; A P G Lombardi; T K Kilvaer; L T Busund; E Richardsen
Journal:  Sci Rep       Date:  2021-07-05       Impact factor: 4.379

8.  Circ-MTO1 correlates with favorable prognosis and inhibits cell proliferation, invasion as well as miR-17-5p expression in prostate cancer.

Authors:  Yijia Hu; Bin Guo
Journal:  J Clin Lab Anal       Date:  2019-11-11       Impact factor: 2.352

Review 9.  Regulation of Neuroendocrine-like Differentiation in Prostate Cancer by Non-Coding RNAs.

Authors:  Eva Slabáková; Zuzana Kahounová; Jiřina Procházková; Karel Souček
Journal:  Noncoding RNA       Date:  2021-12-02
  9 in total

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